8 February 2017 A neighbor pixel communication filtering structure for Dynamic Vision Sensors
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Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102251K (2017) https://doi.org/10.1117/12.2266241
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan
Abstract
For Dynamic Vision Sensors (DVS), thermal noise and junction leakage current induced Background Activity (BA) is the major cause of the deterioration of images quality. Inspired by the smoothing filtering principle of horizontal cells in vertebrate retina, A DVS pixel with Neighbor Pixel Communication (NPC) filtering structure is proposed to solve this issue. The NPC structure is designed to judge the validity of pixel’s activity through the communication between its 4 adjacent pixels. The pixel’s outputs will be suppressed if its activities are determined not real. The proposed pixel’s area is 23.76×24.71μm2 and only 3ns output latency is introduced. In order to validate the effectiveness of the structure, a 5×5 pixel array has been implemented in SMIC 0.13μm CIS process. 3 test cases of array’s behavioral model show that the NPC-DVS have an ability of filtering the BA.
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Yuan Xu, Yuan Xu, Shiqi Liu, Shiqi Liu, Hehui Lu, Hehui Lu, Zilong Zhang, Zilong Zhang, } "A neighbor pixel communication filtering structure for Dynamic Vision Sensors", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251K (8 February 2017); doi: 10.1117/12.2266241; https://doi.org/10.1117/12.2266241
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